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Estimation of Actual People Flow in Urban Area from Aggregated Data

机译:从汇总数据估算城市地区的实际人流

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Recently, the needs of disaggregated positional information are more and more rising in terms of grasp of traffic conditions, support to marketing, emergency responses just after earthquake, or etc. However, secrecy of the disaggregated data is very high, so it will take longer that many people will be able to use the data. Thus in this study, for promoting the utilization of the data, we tried to construct almost actual people flow dataset in Shizuoka urban area by estimating people flow from person trip survey data and assimilating observed value to the estimated model based on data assimilation method. Moreover, the validity of this method was examined by comparing with true value.
机译:近年来,从交通状况的掌握,对营销的支持,地震后的紧急响应等方面,对分类位置信息的需求越来越高。但是,分类数据的保密性很高,因此需要更长的时间许多人将能够使用这些数据。因此,在本研究中,为了促进数据的利用,我们尝试通过从人次出行调查数据中估算人流并将观测值同化为基于数据同化方法的估计模型,来构建静冈市区内几乎实际的人流数据集。此外,通过与真实值进行比较,检验了该方法的有效性。

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